Research Scientist, Google Research at Google

Minimum qualifications:

• PhD in Computer Science, related technical field or equivalent practical experience.
• Experience in Natural Language Understanding, Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining or Machine Intelligence (Artificial Intelligence).
• Experience contributing to research communities and/or efforts, including publishing papers at conferences.
• Programming experience in one or more of the following: C, C++, Python.

Preferred qualifications:

• Relevant work experience, including full time industry experience or as a researcher in a lab.
• Strong publication record.
• Ability to design and execute on research agenda.

About the job

• We do research differently here at Google. Our team of Research Scientists aren't cloistered in a secret lab but are embedded throughout the engineering organization, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, Research Scientists work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers.
• There is always more information out there, and the Research and Machine Intelligence team has a never-ending quest to find it and make it accessible. We're constantly refining our signature search engine to provide better results, and developing offerings like Google Instant, Google Voice Search and Google Image Search to make it faster and more engaging. We're providing users around the world with great search results every day, but at Google, great just isn't good enough. We're just getting started.

Responsibilities

• Participate in cutting edge research in machine intelligence and machine learning applications.
• Develop solutions for real world, large scale problems.